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Google Cloud Training

Discover the power of data transformation with Google Cloud. Learn how to leverage Google Cloud to unlock valuable insights and drive business growth. Join Udacity's Cloud Digital Leader series today!

What's inside

Syllabus

In this introduction, you'll explore the course goals and preview each section.
In this section of the course, you'll explore the important role that data plays in an organization's digital transformation.
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In this section of the course, you'll explore Google Cloud data management products and solutions, and learn how they apply to different business use cases.
In this section of the course, you'll examine how smart analytics, business intelligence tools, and streaming analytics can add value in different business use cases.
The course closes with a summary of the key points covered in each section and next steps to continue learning.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores how Google Cloud can be leveraged to unlock valuable insights and drive business growth, which is essential for businesses seeking to gain a competitive edge in today's data-driven market
Develops proficiency in leveraging data management products and solutions offered by Google Cloud, which are widely used in industry and highly sought after by employers
Examines how smart analytics, business intelligence tools, and streaming analytics can add value in different business use cases, which are core skills for data analysts and business intelligence professionals
Taught by Google Cloud Training, who are recognized for their expertise in data transformation and cloud computing
Offered through Udacity, which provides a user-friendly learning platform and a supportive community of learners
Intended for individuals with a basic understanding of data and cloud computing concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exploring Data Transformation with Google Cloud with these activities:
Review of Tech Industry Resources and Trends
Review tech industry resources and trends to strengthen foundational understanding of concepts covered in the course.
Browse courses on Google Cloud
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  • Research recent market trends and advancements in cloud computing.
  • Review tech industry publications and blogs to stay up-to-date on best practices and emerging technologies.
Peer Mentorship
Provide mentorship to peers to enhance understanding of course concepts and support their learning journey.
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  • Pair up with a peer and provide guidance and support on course topics.
  • Engage in discussions and share knowledge to foster mutual understanding.
Cloud Data Management Scenarios
Complete practice scenarios to reinforce understanding of Google Cloud data management concepts and skills.
Browse courses on Data Transformation
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  • Analyze real-world data transformation scenarios.
  • Apply Google Cloud data management tools and techniques to solve problems.
Four other activities
Expand to see all activities and additional details
Show all seven activities
BigQuery and Data Analytics
Follow guided tutorials to gain hands-on experience with BigQuery and data analytics techniques.
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  • Follow Google Cloud tutorials on BigQuery and data analytics.
  • Experiment with different data analytics techniques using BigQuery.
Data Transformation Blog Post
Write a blog post to share knowledge gained in the course and contribute to the tech community.
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  • Choose a specific data transformation topic to write about.
  • Research and gather information from reliable sources.
  • Write a well-structured and informative blog post.
Cloud Data Transformation Project
Apply skills and knowledge gained in the course to develop a data transformation project using Google Cloud.
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  • Choose a real-world data transformation problem to solve.
  • Design and implement a data transformation solution using Google Cloud.
  • Present findings and insights from the data transformation project.
Data Transformation Hackathon
Participate in a data transformation hackathon to enhance problem-solving skills and connect with industry leaders.
Show steps
  • Join a data transformation hackathon organized by a tech company or industry group.
  • Collaborate with a team to develop an innovative solution to a data transformation challenge.

Career center

Learners who complete Exploring Data Transformation with Google Cloud will develop knowledge and skills that may be useful to these careers:
Business Analyst
A Business Analyst helps businesses utilize data to make better decisions. Business Analysts can work in a variety of industries, including consulting, finance, and technology. This course can help you better understand the role of data in business and how to use data to solve business problems. Completing this course may help you become a more effective Business Analyst.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. Data Analysts can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Analyst. Completing this course may help you become a more effective Data Analyst.
Data Engineer
A Data Engineer builds and maintains the infrastructure that is used to store and process data. Data Engineers can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Engineer. Completing this course may help you become a more effective Data Engineer.
Data Scientist
A Data Scientist uses data to build models that can be used to make predictions and solve business problems. Data Scientists can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Scientist. Completing this course may help you become a more effective Data Scientist.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. Machine Learning Engineers can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Machine Learning Engineer. Completing this course may help you become a more effective Machine Learning Engineer.
Product Manager
A Product Manager is responsible for the development and launch of new products. Product Managers can work in a variety of industries, including technology, consumer goods, and healthcare. This course can help you develop the skills you need to become a successful Product Manager. Completing this course may help you become a more effective Product Manager.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. Project Managers can work in a variety of industries, including construction, technology, and manufacturing. This course can help you develop the skills you need to become a successful Project Manager. Completing this course may help you become a more effective Project Manager.
Software Engineer
A Software Engineer designs, develops, and tests software. Software Engineers can work in a variety of industries, including technology, finance, and healthcare. This course can help you develop the skills you need to become a successful Software Engineer. Completing this course may help you become a more effective Software Engineer.
Systems Analyst
A Systems Analyst analyzes and designs systems to meet the needs of businesses. Systems Analysts can work in a variety of industries, including technology, finance, and healthcare. This course can help you develop the skills you need to become a successful Systems Analyst. Completing this course may help you become a more effective Systems Analyst.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to help businesses make better decisions. Business Intelligence Analysts can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Business Intelligence Analyst. Completing this course may help you become a more effective Business Intelligence Analyst.
Data Architect
A Data Architect designs and builds the architecture for data systems. Data Architects can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Architect. Completing this course may help you become a more effective Data Architect.
Data Governance Specialist
A Data Governance Specialist is responsible for the development and implementation of data governance policies and procedures. Data Governance Specialists can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Governance Specialist. Completing this course may help you become a more effective Data Governance Specialist.
Data Integration Specialist
A Data Integration Specialist is responsible for the integration of data from multiple sources. Data Integration Specialists can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Integration Specialist. Completing this course may help you become a more effective Data Integration Specialist.
Data Mining Analyst
A Data Mining Analyst is responsible for the extraction of knowledge from data. Data Mining Analysts can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Mining Analyst. Completing this course may help you become a more effective Data Mining Analyst.
Data Visualization Specialist
A Data Visualization Specialist is responsible for the creation of data visualizations. Data Visualization Specialists can work in a variety of industries, including consulting, finance, and technology. This course can help you develop the skills you need to become a successful Data Visualization Specialist. Completing this course may help you become a more effective Data Visualization Specialist.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploring Data Transformation with Google Cloud.
Provides a comprehensive overview of data-driven digital transformation, including the challenges and benefits of using data to drive growth. It would be particularly useful as background reading for this course.
Provides a practical guide to data transformation, including data extraction, transformation, and loading. It would be a valuable reference for learners who want to learn more about the technical aspects of data transformation.
Provides a comprehensive guide to dimensional modeling, which key concept in data transformation. It would be a valuable reference for learners who want to learn more about the theoretical aspects of data transformation.
Provides a definitive guide to data governance, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the theoretical and practical aspects of data transformation.
Provides a comprehensive guide to data analytics, including data transformation. It would be a valuable reference for learners who want to learn more about the practical aspects of data transformation.
Provides a modern approach to data visualization, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the practical aspects of data transformation.
Provides a comprehensive overview of data science for business, including data mining and data-analytic thinking. It would be a valuable reference for learners who want to learn more about the practical applications of data transformation.
Provides a comprehensive overview of predictive analytics, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the practical applications of data transformation.
Provides a comprehensive overview of machine learning, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the technical aspects of data transformation.
Provides a comprehensive overview of deep learning, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the technical aspects of data transformation.
Provides a comprehensive overview of natural language processing with Python, which key aspect of data transformation. It would be a valuable reference for learners who want to learn more about the technical aspects of data transformation.

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